Intimate partner violence severity and depression in rural Bangladesh—a high prevalence setting

Precious Esie, Lisa Bates, and colleagues recently published their work examining the relationship between the severity of intimate partner violence (IPV) and the risk for a major depressive episode (MDE) in the journal Social Science and Medicine –Population Health. The authors applied a novel approach to measuring IPV by operationalizing IPV as the frequency of various acts of physical, psychological, and sexual IPV separately, as well as experiencing injury due to physical or sexual IPV — in contrast to using standard dichotomous indicators. The study population consisted of women who were between 16-37 years old and were married for 4-12 years to their current husband. Experiences of IPV were recent, occurring within 10 months (on average) prior to interviews.

The figure below illustrates the ubiquity and multi-dimensionality of IPV in rural Bangladesh. Nearly 83% of women experienced some form of recent IPV, and nearly all women who experienced physical or sexual IPV also experienced psychological IPV.

Euler diagram illustrating the prevalence and co-occurrence of physical, psychological, and sexual IPV, as well as injury due to physical or sexual IPV

The authors found that incorporating IPV severity consistently revealed a substantially elevated risk of recent MDE for all forms of IPV. Alternatively, the standard dichotomous measures of IPV appeared to underestimate the elevated risk of MDE associated with IPV exposure. For example, in the figure below, although the most severe exposure to sexual IPV was significantly associated with a 65% increased risk for MDE, the corresponding dichotomous measure of sexual IPV (experiencing at least one act versus none) indicated no significant increase for MDE (RR=1.15; 95% CI: 0.90–1.48). This suggests dichotomous indicators of IPV may fail to reveal an association with MDE, but also obscure the much more elevated risks associated with severe levels of IPV exposure.

Risk ratio for sexual IPV severity (left) and as a dichotomous indicator (right).

Notably, the authors also found that for all forms of IPV, the lowest levels of violence severity were not associated with an elevated risk for MDE, relative to no IPV. These results deviate from what has been observed in high-income countries, where as little as one episode of IPV may be associated with more than twice the risk for depression (e.g. Miszkurka et al., 2012). In sum, the use of dichotomous measures, at least in high-prevalence settings such as rural Bangladesh, may mask important nuances in the relationship between IPV and depression and more work is necessary to help explain the IPV-depression gradient.



Miszkurka, M., Zunzunegui, M.V., & Goulet, L. (2012). Immigrant status, antenatal depressive symptoms, and frequency and source of violence: what’s the relationship? Archives of Women’s Mental Health, 15, 387-396.

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Mental illness, drinking, and the social division and structure of labor in the United States: 2003-2015

New research by Seth Prins, Sarah McKetta, Jonathan Platt, Carles Muntaner, Kerry Keyes, and Lisa Bates shows the ways that the social division and structure of labor are associated with mental illness and drinking.  Their work was published online in the American Journal of Industrial Medicine.

Occupations involving manual labor and customer interaction, entertainment, sales, or other service‐oriented labor were associated with increased odds of mental illness and drinking outcomes. Physical/risky work was associated with binge and heavy drinking and serious mental illness; technical/craft work and automation were associated with binge drinking. Work characterized by higher authority, autonomy, and expertise was associated with lower odds of mental illness and drinking outcomes.

Odds Ratio for heavy drinking for a 1 standard deviation difference in each dimension of work. The dimensions of work were created from analyses of Department of Labor’s Occupational Information Network (O*NET) Database

The most compelling finding–which verifies common sense but is rarely, if ever, demonstrated in mainstream quantitative research–is that the productivity-to-pay gap (a crude indicator of economic exploitation) seems to have real consequences for mental health. For full-time workers below the top 1% of wage earners, every unpaid hour of labor was associated with higher odds of moderate and serious mental illness.

Predicted probability of moderate and serious mental illness in relation to the productivity to pay gap. Mental illness was defined using the Kessler 6 instrument.

Also important is that inequity in the division of domestic labor places women at risk of moderate and serious mental illness. This disparity represents persistent processes of oppression and economic exploitation, given that women’s gains in workforce participation by the turn of the century did not reduce their disproportionate burden of unpaid domestic work.


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Mortality and Work-Family Trajectories for U.S. Women, 1968–2013

Cluster member Sarah McKetta, working with Seth Prins, Jonathan Platt, Lisa Bates, and Katherine Keyes, recently published research examining social roles of US women and how the patterning of these roles impacts mortality.

Changes in employment patterns in the 20th century have led to the majority of US women participating in the labor force. However, as women enter the workforce and become laborers, their traditional domestic roles have not been supplanted; rather, the role of laborer is an additional social role to women who already frequently occupy the roles of parent and spouse. It turns out that having more social roles – parent, spouse, laborer – is associated with better health than having fewer. Yet, measurement of roles generally does not account for the dynamics of women’s lifecourses: women’s roles change throughout the lifecourse, and it may be that the timing, onset, and duration of these roles is as meaningful for health as the number or types of roles themselves.

These researchers partially replicated a study by Sabbath et al. using the Panel Study on Income Dynamics, a nationally-representative, longitudinal survey of households in the United States. The current study examined the social roles of women ages 18-50 every survey wave from 1968-2013; each participant’s pattern of social roles – composed of marriage status, labor status, and parent status – was compiled, and then using sequence analysis and hierarchical clustering these patterns were clustered so that women with similar lifecourse patterns were grouped together into categories.

They found 5 empirically-derived lifecourse types in this sample:

Type 1, “Non-working, married, later-mothers” (N=2,340): These women were consistently married, had children later than other women (e.g., mid-to-late twenties compared to early twenties), and were unlikely to work during their reproductive years.
Type 2, “Working, divorced mothers” (N=2,264): These women had a high probability of marriage early in life and to be unmarried later. They were more likely to work as they got older (e.g., after age 35). Nearly all had children.
Type 3, “Working and non-working never-married mothers” (N=581): These women were much less likely to be married at any point in time than other women with children. They were about equally likely to be working as not during these years. Nearly all had children.
Type 4, “Working, never-married non-mothers” (N=345): These women worked consistently, and were less likely than other women to marry or have children.
Type 5, “Non-working, married, earlier-mothers” (N=767): These women were less likely to work, were consistently married, and had children earlier than the “Non-working, married later mothers.”

Interestingly, none of these lifecourse types was characterized by the “triple role” of laborer, parent, and spouse. However, the authors found that lifecourse types had differential mortality, with Type 1 (non-working, married, later-mothers) having the lowest age-standardized mortality rates. Adjusting for race, birth year, number of children, and educational attainment, Type 3 (working and non-working never-married mothers) and Type 4 women (working, never-married, non-mothers) had significantly higher mortality risks than Type 1 women (RR =1.57 and 1.81, respectively). These risks were somewhat attenuated with the addition of household income to the model, suggesting an incomplete mediating role of income, though the risks were persistently elevated in these groups.

Overall, the authors concluded that timing of childbearing did not significantly predicted poor health in this population, likely because no empirically-derived lifecourse type consistently occupied the “triple role” of laborer, partner, and parent in this sample. Delaying childbearing is thought to be beneficial for women because it allows for gains in the workforce; in this sample where few married mothers also worked, it made sense to not see protective effects of delaying childbearing. In addition, lifecourse type conferred an increased risk of mortality among women who did not have partners, regardless of parenting status, which is a common finding in social science research. Marriage is thought to provide social benefits and economies of scale, which are overall very beneficial for long-term health outcomes.

It may be that social roles impact health, or that women select into social roles because of preexisting health problems or disability. Because the women in the study were followed starting at age 18, these factors were not highly concerning to the authors. Overall, this study contributes to a large corpus of work examining how women’s social realities contribute to health disparities.

Below are a couple of key references for the sequence analysis methods used in the paper.

Gauthier, J., et al., Multichannel sequence analysis applied to social science data. Sociological Methodology, 2010. 40(1 ): p. 1 – 38.

Gabadinho, A., et al. Analyzing and Visualizing State Sequences in R with TraMineR. Journal of Statisitcal Software, 2011. 40(4): p. 1 – 37.


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Agent Based Model of Alcohol Taxation and Rates of Violent Victimization

Kerry Keyes and colleagues recently published the results of an agent-based modeling simulation of the effects of alcohol taxation on alcohol consumption and non-fatal violent victimization and homicide in New York City.  The team simulated six examples of taxation interventions and the heterogeneous effects of alcohol price elasticities by income, level of consumption and beverage preferences, and examined whether taxation can reduce alcohol-related violence and income-related inequalities in this form of violence. The figure below shows the relations between agent, social network and neighborhood characteristics that were simulated in their agent‐based model. The simulations suggest that reductions in alcohol consumption in New York City can be sustained with modest increases in alcohol taxation (10% tax) and that these tax increases would have modest effects on alcohol-related violent crime.

A primer on agent-based model simulations was published here and an another example on how weight stigma may influence depression in the obese is here.

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Interdisciplinary Association for Population Health Science Annual Conference.

The program for the 4th annual conference of the Interdisciplinary Association for Population Health Science (IAPHS) is now available online. “Pushing the Boundaries of Population Health Science: Social Inequalities, Biological Processes, and Policy Implications,” to be held October 3-5 in Washington DC, features the latest in interdisciplinary research on population health and promotes exchange between scientists and stakeholders from policy and practice fields. You can register here; Early Bird rates have been extended through August 1.

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Analyzing Mixtures of Environmental Contaminants

It has long been understood that the burden of environmental pollution is disproportionately felt in certain neighborhoods, particularly low-income or minority neighborhoods.  In the 1980’s the US Environmental Protection Agency (EPA) described Environmental Justice as the fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies.  Community advocates argue that racial and ethnic minority neighborhoods and lower income neighborhoods are burdened by mixtures of multiple environmental pollutants and socioeconomic stressors, contributing to a “double jeopardy”.

Understanding the health effects of exposure to multiple, or complex mixtures of, pollutants is particularly challenging.  The Mailman School of Public Health’s Department of Environmental Health Sciences is hosting a 2 day training workshop (Aug 23-24) on statistical analyses of complex environmental contaminant mixture data.  Workshop information is here.

Posted in Environmental Justice, Event, Health Disparities, Neighborhood Environments, Teaching Tools | Leave a comment

Retirement Sequences and Functional Ability in Later Life

Social Epidemiology Unit member Esteban Calvo and his coauthors recently published research in the Journal of Aging and Health on the dynamic association between retirement sequences and functional ability.  The work highlights potential new approaches to simultaneously promote productive engagement and health later in life.

An aging population poses challenges to the prosperity and well-being of modern societies, requiring new evidence to stimulate novel policy solutions to concurrently promote productive and healthy aging. In this context, numerous studies investigate the association between labor force patterns near retirement and the functional ability to perform activities of daily living (ADLs) later in life. Most of these studies analyze labor force patterns as a snapshot of a certain labor force status at a given point in time or a snapshot of a transition from one status to another. The study by Calvo and colleagues departs from this snapshot approach to focus on “retirement sequences,” encompassing a series of chronologically ordered labor force states and transitions between the ages 60 and 70,

In prior work Calvo and colleagues used data from the Health and Retirement Study for 7,880 Americans throughout their 60s to identify six prominent types of retirement sequences: early (retirement by or before age 62), ambiguous (moving from out of the labor force to retirement), complete (conventional retirement around age 66), late (retirement typically after age 66), partial (partial retirement around age 66), and compact (partial retirement from part-time job). Early and ambiguous sequences can be characterized as showing weaker attachment to the labor force, complete and late as conventional models often discussed in academic and policy debates, and partial and compact as unconventional models that have received relatively less attention.

In the newly published work they used the Health and Retirement Study data to study how retirement sequence types were associated with functional ability in later life.  They found that the old conventional retirement model, where people completely retired at expected ages from full-time jobs (complete sequence) and the new conventional model of continued employment promoted by scholars and policy makers (late sequence) are both associated with better functional ability, compared to the early and ambiguous sequences where individuals have weaker attachments to the labor force.  Interestingly, alternative unconventional models (partial and compact sequences) are also associated with better functional ability. These unconventional models entail combinations of part-time jobs and partial retirement, which may be considered as new ways of active engagement in productive activities that could help to protect functional ability in old age.

Adapted from Calvo, Esteban, Ignacio Madero-Cabib, and Ursula M. Staudinger. 2017. “Retirement Sequences of Older Americans: Moderately De-standardized and Highly Stratified across Gender, Class, and Race.” The Gerontologist.

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Health Disparities Seminar

As part of the Chronic Disease Epidemiology Unit’s seminar series Dr. Chanita Hughes-Halbert will be speaking on social determinants of health disparities on June 22 in Hess Commons .

Dr. Hughes-Halbert is the AT&T Distinguished Endowed Chair in Cancer Equity, at the Hollings Cancer Center at the University of South Carolina.  Her research program focuses on identifying sociocultural, psychological and environmental determinants of cancer prevention and control, translating this information into interventions and disseminating efficacious strategies into clinical and community settings. Currently, she is examining community-based strategies for increasing access to, and enhancing the quality of, precision medicine strategies among medically underserved populations, with a particular focus on minority men.

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Aging policy reforms in Argentina, Chile, Costa Rica, and Mexico

Social Epidemiology faculty member, Estaban Calvo, just published a review and analysis of aging policy in ArgentinaChileCosta Rica, and Mexico.  The article in the Journal of Aging and Social Policy describes how initial charity-based approaches to poverty and illness were gradually replaced by a rights-based approach considering broader notions of well-being, and that recent policy reforms emphasize the need for national, intersectoral, and evidence-based policy. The results of this review have implications for identifying priorities for intervention and informing policy reforms in developing countries worldwide.



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Changing the Narrative on Youth Violence Prevention

The Mailman School of Public Health, Department of Epidemiology and the Center for Injury Epidemiology and Prevention are co-hosting a seminar on March 27th by Dr. Monica Wendel, “Changing the Narrative on Youth Violence Prevention”.

Dr. Wendel is the Associate Dean for Public Health Practice and an Associate Professor of Health Promotion and Behavioral Sciences at the University of Lousiville.  She is interested in applied research focused on community capacity building around social and health equity issues, and is currently the PI of a CDC funded project, “Changing the Narrative:  Using Media to Shift Norms of Violence among Youth in West Louisville”.

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